Deep Learning for Natural Language Processing LiveLessons, 2nd Edition

ISBN: 0136620043 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 59m | 10 GB

Instructor: Jon Krohn

An intuitive introduction to processing natural language data with TensorFlow-Keras deep learning models.

Overview

Deep Learning for Natural Language Processing LiveLessons, Second Edition, is an introduction to building natural language models with deep learning. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow 2, the most popular Deep Learning library. In early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data.

Skill Level

Intermediate

Learn How To

Preprocess natural language data for use in machine learning applications

Transform natural language into numerical representations with word2vec

Make predictions with Deep Learning models trained on natural language

Apply state-of-the-art NLP approaches with Keras, the high-level API for TensorFlow 2

Improve Deep Learning model performance by selecting appropriate model architectures and tuning model hyperparameters

Who Should Take This Course

These LiveLessons are perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in applying Deep Learning to natural language data. Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful.